scholarly journals Gait Dynamics in Parkinson’s Disease: Short Gait Trials “Stitched” Together Provide Different Fractal Fluctuations Compared to Longer Trials

2018 ◽  
Vol 9 ◽  
Author(s):  
Vivien Marmelat ◽  
Nicholas R. Reynolds ◽  
Amy Hellman
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Gait Dynamics ◽  
Fractal Fluctuations

scholarly journals Parkinson’s Disease Rating Scale Using Synchronization Analysis of Gait Dynamics

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Naeimehossadat Asmarian ◽  
Ahmad Ruzitalab ◽  
Gholamhossien Erjaee ◽  
Mohammad Hadi Farahi ◽  
Seyyed Mojtaba Asmarian
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Rating Scale ◽  
Massachusetts General Hospital ◽  
Rank Correlation ◽  
Absolute Error ◽  
Time Interval ◽  
Gait Dynamics ◽  
Data Phase ◽  
Yahr Scale

Analysis of gait dynamics is a noninvasive and totally painless test, and it can be an ideal method for the diagnosis of neurodegenerative diseases. In this study, based on the strength of synchronization between dynamics of strides, we have suggested a rating scale method for Parkinson’s disease (PD). Methods. The sample included 15 persons with PD (age: 66.8 ± 10.9 years) and 16 healthy persons (age: 39.3 ± 18.5   years) which were recruited from the Neurology Outpatient Clinic at Massachusetts General Hospital and were instructed to walk a 77 m long, straight hallway. The time interval of strides and subphases of strides were measured. Using the Hilbert transformation method, we obtained the data phase and used mean absolute error (MAE) to calculate the synchronization strength of the data phase. Results. In order to check the accuracy of our method, we measured the correlation between our numerical results (MAE) and values of the Hoehn-Yahr scale. Spearman’s rank correlation coefficients ( r ) and the P values were calculated. MAE of left and right stride intervals (LRSI) significantly correlates with the Hoehn-Yahr scale for the subjects with PD (with r = 0.60 and P = 0.025 < 0.05 ). Conclusion. We have revealed that the synchronization weakness of LRSI shows the severity of PD. This method seems to be well suited as a rating scale for people with PD.

Gait dynamics in Parkinson's disease: relationship to Parkinsonian features, falls and response to levodopa

2003 ◽  
Vol 212 (1-2) ◽  
pp. 47-53 ◽  
Author(s):  
Joanna D. Schaafsma ◽  
Nir Giladi ◽  
Yacov Balash ◽  
Anna L. Bartels ◽  
Tanya Gurevich ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Gait Dynamics

scholarly journals Age Matters: Objective Gait Assessment in Early Parkinson’s Disease Using an RGB-D Camera

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Beatriz Muñoz Ospina ◽  
Jaime Andrés Valderrama Chaparro ◽  
Juan David Arango Paredes ◽  
Yor Jaggy Castaño Pino ◽  
Andrés Navarro ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Low Cost ◽  
Objective Assessment ◽  
Descriptive Analysis ◽  
Age Groups ◽  
Rank Correlation ◽  
Depth Sensing ◽  
Gait Dynamics

Background. Gait alterations are hallmarks for the diagnosis and follow-up of patients with Parkinson’s disease (PD). In normal conditions, age could affect gait dynamics. Although it is known that objective assessment of gait is a valuable tool for diagnosis and follow-up of patients with PD, only few studies evaluate the effect of aging on the gait pattern of patients with PD. Objective. The purpose of this study was to assess differences in gait dynamics between PD patients and healthy subjects and to investigate the effects of aging on these differences using a low-cost RGB-D depth-sensing camera. Methods. 30 PD patients and 30 age-matched controls were recruited. Descriptive analysis was used for clinical variables, and Spearman’s rank correlation was used to correlate age and gait variables. The sample was distributed in age groups; then, Mann–Whitney U test was used for comparison of gait variables between groups. Results. PD patients exhibited prolonged swing (p=0.002) and stance times (p<0.001) and lower speed values (p<0.001) compared to controls. This was consistent in all age groups, except for the one between 76 and 88 years old, in which the controls were slower and had longer swing and stance times. These results were statically significant for the group from 60 to 66 years. Conclusion. Gait speed, swing, and stance times are useful for differentiating PD patients from controls. Quantitative gait parameters measured by an RGB-D camera can complement clinical assessment of PD patients. The analysis of these spatiotemporal variables should consider the age of the subject.

Automated and objective measures of gait dynamics in camptocormia Parkinson’s Disease subthalamic deep brain stimulation

2019 ◽  
Vol 186 ◽  
pp. 105537
Author(s):  
Carolina Soares ◽  
Maria do Carmo Vilas-Boas ◽  
Elodie Murias Lopes ◽  
Hugo Choupina ◽  
Ricardo Soares-dos-Reis ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Objective Measures ◽  
Gait Dynamics ◽  
Deep Brain
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